metadata
base_model: bert-base-chinese
metrics:
- accuracy
tags:
- generated_from_trainer
model-index:
- name: bert-base-chinese-climate-risk-opportunity-prediction-vv1
results: []
bert-base-chinese-climate-risk-opportunity-prediction-vv1
This model is a fine-tuned version of bert-base-chinese on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0308
- Accuracy: 0.99
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 113 | 0.0855 | 0.98 |
| No log | 2.0 | 226 | 0.0278 | 0.99 |
| No log | 3.0 | 339 | 0.0765 | 0.99 |
| No log | 4.0 | 452 | 0.0476 | 0.99 |
| 0.0494 | 5.0 | 565 | 0.0365 | 0.99 |
| 0.0494 | 6.0 | 678 | 0.0335 | 0.99 |
| 0.0494 | 7.0 | 791 | 0.0324 | 0.99 |
| 0.0494 | 8.0 | 904 | 0.0312 | 0.99 |
| 0.0001 | 9.0 | 1017 | 0.0308 | 0.99 |
| 0.0001 | 10.0 | 1130 | 0.0308 | 0.99 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1